LabsOperations Class
LabsOperations operations.
You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute.
- Inheritance
-
builtins.objectLabsOperations
Constructor
LabsOperations(client, config, serializer, deserializer)
Parameters
- client
Client for service requests.
- config
Configuration of service client.
- serializer
An object model serializer.
- deserializer
An object model deserializer.
Variables
- models
Alias to model classes used in this operation group.
Methods
| add_users |
Add users to a lab. |
| begin_delete |
Delete lab. This operation can take a while to complete. |
| create_or_update |
Create or replace an existing Lab. |
| get |
Get lab. |
| list |
List labs in a given lab account. |
| register |
Register to managed lab. |
| update |
Modify properties of labs. |
add_users
Add users to a lab.
add_users(resource_group_name: str, lab_account_name: str, lab_name: str, add_users_payload: _models.AddUsersPayload, **kwargs: Any) -> None
Parameters
- cls
- callable
A custom type or function that will be passed the direct response
Returns
None, or the result of cls(response)
Return type
Exceptions
begin_delete
Delete lab. This operation can take a while to complete.
begin_delete(resource_group_name: str, lab_account_name: str, lab_name: str, **kwargs: Any) -> LROPoller[None]
Parameters
- cls
- callable
A custom type or function that will be passed the direct response
- continuation_token
- str
A continuation token to restart a poller from a saved state.
- polling
- bool or PollingMethod
Pass in True if you'd like the ARMPolling polling method, False for no polling, or your own initialized polling object for a personal polling strategy.
- polling_interval
- int
Default waiting time between two polls for LRO operations if no Retry-After header is present.
Returns
An instance of LROPoller that returns either None or the result of cls(response)
Return type
Exceptions
create_or_update
Create or replace an existing Lab.
create_or_update(resource_group_name: str, lab_account_name: str, lab_name: str, lab: _models.Lab, **kwargs: Any) -> _models.Lab
Parameters
- cls
- callable
A custom type or function that will be passed the direct response
Returns
Lab, or the result of cls(response)
Return type
Exceptions
get
Get lab.
get(resource_group_name: str, lab_account_name: str, lab_name: str, expand: Optional[str] = None, **kwargs: Any) -> _models.Lab
Parameters
- expand
- str
Specify the $expand query. Example: 'properties($select=maxUsersInLab)'.
- cls
- callable
A custom type or function that will be passed the direct response
Returns
Lab, or the result of cls(response)
Return type
Exceptions
list
List labs in a given lab account.
list(resource_group_name: str, lab_account_name: str, expand: Optional[str] = None, filter: Optional[str] = None, top: Optional[int] = None, orderby: Optional[str] = None, **kwargs: Any) -> Iterable[_models.ResponseWithContinuationLab]
Parameters
- expand
- str
Specify the $expand query. Example: 'properties($select=maxUsersInLab)'.
- cls
- callable
A custom type or function that will be passed the direct response
Returns
An iterator like instance of either ResponseWithContinuationLab or the result of cls(response)
Return type
Exceptions
register
Register to managed lab.
register(resource_group_name: str, lab_account_name: str, lab_name: str, **kwargs: Any) -> None
Parameters
- cls
- callable
A custom type or function that will be passed the direct response
Returns
None, or the result of cls(response)
Return type
Exceptions
update
Modify properties of labs.
update(resource_group_name: str, lab_account_name: str, lab_name: str, lab: _models.LabFragment, **kwargs: Any) -> _models.Lab
Parameters
- cls
- callable
A custom type or function that will be passed the direct response
Returns
Lab, or the result of cls(response)
Return type
Exceptions
Attributes
models
models = <module 'azure.mgmt.labservices.models' from 'C:\\hostedtoolcache\\windows\\Python\\3.9.13\\x64\\lib\\site-packages\\azure\\mgmt\\labservices\\models\\__init__.py'>
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